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Conference Paper: Normalization of contrast in document images using generalized fuzzy operator with least square method

TitleNormalization of contrast in document images using generalized fuzzy operator with least square method
Authors
KeywordsComputers
Artificial intelligence
Issue Date2002
PublisherIEEE, Computer Society.
Citation
Proceedings - International Conference On Pattern Recognition, 2002, v. 16 n. 3, p. 115-118 How to Cite?
AbstractThe visual effect of non-uniform contrast and brightness surrounds in the image is a very common problem in the applications of photocopying, IC manufacture and medicine. In using the digital/CCD camera to capture documents and photos based on non-uniform illumination condition, the poor image will be seen. The poor image can result in achieving the inaccurate reading from the optical character recognition (OCR) system. This paper present a new approach to normalize the local contrast in documentation based on the least square method and also enhance the object of interest using generalized fuzzy operator (GFO). Two typical examples are used for evaluating the method. © 2002 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/46308
ISBN
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorLeung, CCen_HK
dc.contributor.authorKwok, PCKen_HK
dc.contributor.authorChan, FHYen_HK
dc.contributor.authorTsui, WKen_HK
dc.date.accessioned2007-10-30T06:47:01Z-
dc.date.available2007-10-30T06:47:01Z-
dc.date.issued2002en_HK
dc.identifier.citationProceedings - International Conference On Pattern Recognition, 2002, v. 16 n. 3, p. 115-118en_HK
dc.identifier.isbn0-7695-1695-X-
dc.identifier.issn1051-4651en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46308-
dc.description.abstractThe visual effect of non-uniform contrast and brightness surrounds in the image is a very common problem in the applications of photocopying, IC manufacture and medicine. In using the digital/CCD camera to capture documents and photos based on non-uniform illumination condition, the poor image will be seen. The poor image can result in achieving the inaccurate reading from the optical character recognition (OCR) system. This paper present a new approach to normalize the local contrast in documentation based on the least square method and also enhance the object of interest using generalized fuzzy operator (GFO). Two typical examples are used for evaluating the method. © 2002 IEEE.en_HK
dc.format.extent311867 bytes-
dc.format.extent2599 bytes-
dc.format.extent13817 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE, Computer Society.en_HK
dc.relation.ispartofProceedings - International Conference on Pattern Recognitionen_HK
dc.rights©2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectComputersen_HK
dc.subjectArtificial intelligenceen_HK
dc.titleNormalization of contrast in document images using generalized fuzzy operator with least square methoden_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0-7695-1695-X/1051-4651&volume=3&spage=115&epage=118&date=2002&atitle=Normalization+of+contrast+in+document+images+using+generalized+fuzzy+operator+with+least+square+methoden_HK
dc.identifier.emailTsui, WK:wktsui@eee.hku.hken_HK
dc.identifier.authorityTsui, WK=rp00182en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICPR.2002.1047808en_HK
dc.identifier.scopuseid_2-s2.0-33745477927en_HK
dc.identifier.hkuros71556-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33745477927&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume16en_HK
dc.identifier.issue3en_HK
dc.identifier.spage115en_HK
dc.identifier.epage118en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLeung, CC=36725507200en_HK
dc.identifier.scopusauthoridKwok, PCK=7101871278en_HK
dc.identifier.scopusauthoridChan, FHY=7202586429en_HK
dc.identifier.scopusauthoridTsui, WK=7005623168en_HK

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